Description

Build advanced data-driven solutions leveraging Agentic AI to enhance risk detection and automation.

This role is hybrid.

Responsibilities

• Develop and maintain Python-based applications supporting financial crimes initiatives.
• Design, build, and integrate APIs for data ingestion and workflow automation.
• Write complex SQL queries to process and analyze large datasets using RDS and relational structures.
• Apply Agentic AI methodologies (Agents, LLMs, ARQs, MCP) to enhance system intelligence.

Required Skills

• 5+ years of experience as a Python Developer or in a similar software engineering role.
• Strong, hands-on experience with RDS and relational database technologies.
• Proven experience designing, consuming, and integrating APIs.
• Proficiency in SQL and working with structured data.
• Demonstrated experience with Agentic AI, including AI Agents and LLMs.

Preferred Skills

• Exposure to PySpark or distributed data-processing frameworks.
• Familiarity with React or modern UI technologies.

Key Skills

Education

Any Graduate